{"id":"W4388595738","doi":"10.1016/j.jclepro.2023.139675","title":"Environmental footprint analysis of gold recycling from electronic waste: A comparative life cycle analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Life-cycle assessment; Ecological footprint; Sustainability; Environmental science; Human health; Gold extraction; Gold mining; Environmental impact assessment; Waste management; Electronic waste; Engineering; Materials science; Production (economics); Metallurgy; Ecology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038767,0.0001448696,0.0005487326,0.0007509318,0.00006409536,0.00002520134,0.0002560249,0.00005485619,0.0002412978],"category_scores_gemma":[0.00005749885,0.0001262321,0.0004506301,0.002254489,0.0001009657,0.0002051536,0.0001231328,0.0002446725,0.00002665938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002105355,"about_ca_system_score_gemma":0.000008081151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001628638,"about_ca_topic_score_gemma":0.00009415411,"domain_scores_codex":[0.9979919,0.0001521584,0.0007175204,0.0003181919,0.0005837959,0.0002363905],"domain_scores_gemma":[0.9987262,0.000057021,0.0007956857,0.0003235775,0.00001483081,0.0000826977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001113589,0.0001686437,0.08064207,0.000004323552,0.004198865,0.000003874719,0.0008821703,0.8630819,0.02934983,0.000007183419,0.0008815881,0.02066815],"study_design_scores_gemma":[0.0004038436,0.0003769707,0.8634701,0.00003164849,0.009912024,0.00000332432,0.004079351,0.06968372,0.04775994,0.000988544,0.002921449,0.0003691372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972391,0.00006520934,0.001605315,0.0003147875,0.0001233173,0.0001146832,0.000004723473,0.00003895173,0.0004939801],"genre_scores_gemma":[0.9984264,0.0003791564,0.0005990362,0.00002011025,0.0001459779,0.000003289766,0.00001962191,0.00001054585,0.0003958812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7933982,"threshold_uncertainty_score":0.5147597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733066647957419,"score_gpt":0.2632398845458703,"score_spread":0.2459092180662961,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}